Consensus on asynchronous communication networks in presence of external input

C. Pilotto, K. M. Chandy, J. White

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a class of multi-agent systems where the state of each agent is driven by its own local protocol, and by exogenous time-varying input signal. These inputs may represent agent dynamics and, in presence of unreliable communication medium, transmission noise.We consider multi-agent systems operating over asynchronous networks. Examples of such systems are message-passing systems in which agents don't share a global clock and communicate only by sending and receiving messages that may be lost, delayed arbitrarily, and delivered out of order. We present conditions on the protocols and input signals that ensure zero or bounded steadystate error over asynchronous communication networks. We discuss two specific examples and apply our general results to them. These systems are an iterative group-based protocol for average consensus of time-varying quantities, and a scheme for spatial pattern configuration, where mobile agents communicate via message-passing.

Original languageEnglish (US)
Title of host publication2010 49th IEEE Conference on Decision and Control, CDC 2010
Pages3838-3844
Number of pages7
DOIs
StatePublished - Dec 1 2010
Event2010 49th IEEE Conference on Decision and Control, CDC 2010 - Atlanta, GA, United States
Duration: Dec 15 2010Dec 17 2010

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Other

Other2010 49th IEEE Conference on Decision and Control, CDC 2010
CountryUnited States
CityAtlanta, GA
Period12/15/1012/17/10

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ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Cite this

Pilotto, C., Chandy, K. M., & White, J. (2010). Consensus on asynchronous communication networks in presence of external input. In 2010 49th IEEE Conference on Decision and Control, CDC 2010 (pp. 3838-3844). [5717134] (Proceedings of the IEEE Conference on Decision and Control). https://doi.org/10.1109/CDC.2010.5717134